B. Kotrys, M. Tomczak, A. Witkowski, J. Harff, J. Seidler
{"title":"Diatom-based estimation of sea surface salinity in the south Baltic Sea and Kattegat","authors":"B. Kotrys, M. Tomczak, A. Witkowski, J. Harff, J. Seidler","doi":"10.5200/BALTICA.2014.27.22","DOIUrl":null,"url":null,"abstract":"The new diatom-based sea-surface salinity (SSS) estimation has been applied to a collection of 27 taxa in 48 present-day sediment and surface water samples recovered in the Baltic Sea and Kattegat. The sediment core 303610-12 (2005) from the Eastern Gotland was chosen for the study of the Holocene sequence spanning the past 8160 yrs BP. The Artificial Neuronal Network (ANN) method provided an estimation of spring (March- April) SSS values ranging between 7.04-8.25 ‰. The low amplitude of salinity change might be caused by mix- ing of fresh water with upper surface layer of the Baltic Sea due to high precipitation and riverine input. These findings were compared with independent geochemical proxies for salinity (K, Ti and S) derived from XRF Core Scanner record. Significant correlation between salinity and sulphur records and an inverse correlation between K and Ti demonstrate that the ANN method, when combined with quantitative and qualitative analyses of diatoms, provides a useful tool for palaeo-salinity reconstructions from the Holocene sediments of the Baltic Sea.","PeriodicalId":55401,"journal":{"name":"Baltica","volume":"27 1","pages":"131-140"},"PeriodicalIF":0.5000,"publicationDate":"2014-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Baltica","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5200/BALTICA.2014.27.22","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOLOGY","Score":null,"Total":0}
引用次数: 3
Abstract
The new diatom-based sea-surface salinity (SSS) estimation has been applied to a collection of 27 taxa in 48 present-day sediment and surface water samples recovered in the Baltic Sea and Kattegat. The sediment core 303610-12 (2005) from the Eastern Gotland was chosen for the study of the Holocene sequence spanning the past 8160 yrs BP. The Artificial Neuronal Network (ANN) method provided an estimation of spring (March- April) SSS values ranging between 7.04-8.25 ‰. The low amplitude of salinity change might be caused by mix- ing of fresh water with upper surface layer of the Baltic Sea due to high precipitation and riverine input. These findings were compared with independent geochemical proxies for salinity (K, Ti and S) derived from XRF Core Scanner record. Significant correlation between salinity and sulphur records and an inverse correlation between K and Ti demonstrate that the ANN method, when combined with quantitative and qualitative analyses of diatoms, provides a useful tool for palaeo-salinity reconstructions from the Holocene sediments of the Baltic Sea.
期刊介绍:
BALTICA is an international periodical journal on Earth sciences devoted to the Baltic countries region and the Baltic Sea problems. This edition as a Yearbook is established in 1961 by initiative of Academician Vytautas Gudelis. Since 1993, an Editor-in-Chief of the journal became Academician Algimantas Grigelis. BALTICA is published biannually (in June and December) in cooperation with geoscientists of the circum-Baltic States.
BALTICA is publishing original peer-reviewed papers of international interests on various Earth sciences issues. The particular emphasis is given to Quaternary geology, climate changes and development of ecosystems, palaeogeography, environmental geology, as well as stratigraphy, tectonics, sedimentology and surface processes with relevance to the geological history of the Baltic Sea and land areas. Journal emphasizes modern techniques, methodology and standards. The journal structure comprises original articles, short reviews, information, bibliography.